Deep Learning-Based Detection of Electrical Faults and Power Quality Disturbances in Aerospace Power Systems
This work presents a hardware-aware deep learning framework for multiclass detection of electrical faults and power quality disturbances in a 400 Hz aerospace power system, establishing simulation-based, accelerator-level feasibility for embedded edge AI in aircraft electrical health monitoring and motivating future en...